AlessandroMinervini / COVID-19-forecasting

A linear regression model to forecasting the Italian new COVID-19 cases of next days.

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COVID-19-forecasting

A linear regression model to forecasting the Italian new COVID-19 cases of next days.

The data are provided by the Italian Civil Protection and can be consulted here: https://github.com/pcm-dpc/COVID-19. New daily data are available from 18.00.

Description

I predict the new COVID-19 italian cases for:

  • Total cases
  • New positive cases (hospitalized + home isolation)
  • Daily intensive Care patients

The predictions are for the next 3 days.

Note

  • I fixed the polynomial degree, depending on the tasks mentioned above.
  • Added daily intensive care patients to the task (from 30-03).
  • Updated number of days to forecast.

Results

Every day I will update the table with the number of cases actually verified and the model predictions for the next day.

Data Total cases Total cases - prediction New positive cases New positive cases - prediction
16-03 27980 29070 2470 3329
17-03 31506 32202 2989 3107
18-03 35713 35365 2648 3256
19-03 41035 39514 4480 3054
20-03 47021 45447 4670 4042
21-03 53578 52559 4821 4739
22-03 59138 60380 3957 5215
23-03 63927 66679 3780 4961
24-03 69176 71134 3780 4614
25-03 74386 75374 3491 4224
26-03 80539 79570 4492 3842
27-03 86498 84926 4401 4037
28-03 92472 90641 3651 4106
29-03 97689 96544 3815 3778
30-03 101739 101754 1648 3592
31-03 105792 105501 2107 2477
01-04 110574 108659 2937 1860
02-04 115242 112405 2477 1736
03-04 119827 116523 2339 1469
04-04 124632 120889 2886 1227
05-04 128948 125679 2972 1275
06-04 132547 130346 1941 1367
07-04 135586 134393 880 1076
08-04 139422 137693 1195 482
09-04 143626 137693 1615 1727
10-04 147577 145435 1396 1514
11-04 152271 149761 1996 1287
12-04 156363 154779 1984 1203
13-04 159516 159775 1363 1128
14-04 162488 164062 675 953
15-04 165155 167776 1127 680
16-04 168941 170933 1189 519
17-04 172434 174528 355 389
18-04 175925 178234 809 138
19-04 178972 182022 486 -8
20-04 181228 185582 -20 -187
21-04 183957 188495 -528 -423
22-04 187327 191288 -10 -709
23-04 189973 194413 -851 -884
24-04 192994 197343 -321 -1163
25-04 195351 200370 -680 -1331
26-04 197675 203088 256 -1531
27-04 199414 205583 -290 -1574
28-04 201505 207607 -608 -1684
29-04 203591 209516 -548 -1824
30-04 205463 211367 -3106 -1938
01-05 207428 213084 -608 -2380
02-05 209328 214777 -239 -2449
03-05 210717 216441 -525 -2458
04-05 211938 217840 -199 -2499
05-05 213013 218984 -1513 -2490
06-05 214457 219892 -6939 -2641
07-05 215858 220837 -1904 -3444
08-05 217185 221812 -1663 -3566
09-05 218268 222796 -3119 -3644
10-05 219814 223690 -1518 -3883
11-05 219814 220508 -836 -3911
12-05 221216 221479 -1222 -3853
13-05 222104 222567 -2809 -3839
14-05 223096 223603 -2017 -4000
15-05 223885 224637 -4370 -4057
16-05 224760 225618 -1883 -4363
17-05 225435 226591 -1836 -4373
18-05 225886 227505 -1798 -4372
19-05 226699 228313 -1424 -4364
20-05 Update at 18.00 229146 Update at 18.00 -1480

Italian daily cases

Italian new-daily cases

Update for daily intensive care patients

Data Daily intensive care Daily intensive care - prediction
30-03 75 108
31-03 42 90
01-04 12 66
02-04 20 40
03-04 15 19
04-04 -74 1
05-04 -17 -34
06-04 -79 -51
07-04 -106 -78
08-04 -99 -107
09-04 -88 -130
10-04 -108 -147
11-04 -116 -165
12-04 -38 -182
13-04 -83 -182
14-04 -74 -189
15-04 -107 -194
16-04 -43 -203
17-04 -79 -216
18-04 -124 -225
19-04 -98 -224
20-04 -62 - 226
21-04 -102 -222
22-04 -87 -224
23-04 -117 -71
24-04 -94 -78
25-04 -71 -83
26-04 -93 -86
27-04 -53 -90
28-04 -93 -92
29-04 -68 -96
30-04 -101 -98
01-05 -116 -102
02-05 -39 -106
03-05 -38 -105
04-05 -22 -106
05-05 -52 -105
06-05 -94 -105
07-05 -22 -108
08-05 -143 -107
09-05 -134 -112
10-05 -7 -117
11-05 -28 -114
12-05 -47 -113
13-05 -59 -113
14-05 -38 -114
15-05 -47 -113
16-05 -33 -113
17-05 -13 -112
18-05 -13 -110
19-05 -33 -108
20-05 Update at 18.00 -107

Italian daily cases

About

A linear regression model to forecasting the Italian new COVID-19 cases of next days.

License:MIT License


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Language:Python 100.0%